Compiler optimizations for scalable parallel systems : languages, compilation techniques, and run time systems

Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems
Author: Santosh Pande, Dharma P. Agrawal
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41945-7
DOI: 10.1007/3-540-45403-9

Table of Contents:

• High Performance Fortran 2.0
• The Sisal Project: Real World Functional Programming
• HPC++ and the HPC++Lib Toolkit
• A Concurrency Abstraction Model for Avoiding Inheritance Anomaly in Object-Oriented Programs
• Loop Parallelization Algorithms
• Array Dataflow Analysis
• Interprocedural Analysis Based on Guarded Array Regions
• Automatic Array Privatization
• Optimal Tiling for Minimizing Communication in Distributed Shared-Memory Multiprocessors
• Communication-Free Partitioning of Nested Loops
• Solving Alignment Using Elementary Linear Algebra
• A Compilation Method for Communication-Efficient Partitioning of DOALL Loops
• Compiler Optimization of Dynamic Data Distributions for Distributed-Memory Multicomputers
• A Framework for Global Communication Analysis and Optimizations
• Tolerating Communication Latency through Dynamic Thread Invocation in a Multithreaded Architecture
• Advanced Code Generation for High Performance Fortran
• Integer Lattice Based Methods for Local Address Generation for Block-Cyclic Distributions
• A Duplication Based Compile Time Scheduling Method for Task Parallelism
• SPMD Execution in the Presence of Dynamic Data Structures
• Supporting Dynamic Data Structures with Olden

Includes bibliographical references and index